• 응용통계연구
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• 제35권1호
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• pp.161-175
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• 2022

뇌활동으로 발생하는 전기신호는 다시 자기신호로 유도되는데 센서로 측정한 것을 뇌자도(magnetoencephalography, MEG)라고 한다. MEG 기술은 비접촉, 비침습적인 측정방법이고 시간분해능과 공간분해능력이이 우수하기 때문에 뇌의 기능적인 정보를 얻는데 유용하게 사용될 수 있다. 또한 MEG 신호를 측정하고 분석하여 뇌신경전류의 활동을 이해할 수 있고 나아가 정밀한 뇌기능 연구가 가능하다. 본 연구에서는 뇌 활동(brain activity) 현상에 관한 궁극적 정보를 얻기위해 MEG 데이터의 특성을 설명하고 통계적 문제를 다루어 앞으로 뇌연구에 통계학의 필요성과 뇌정보학의 중요성을 강조하고자 한다.

• Smart Structures and Systems
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• 제30권1호
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• pp.35-47
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• 2022

Data-driven engineering is crucial for information delivery between design, fabrication, assembly, and maintenance of prefabricated structures. Design for manufacturing and assembly (DfMA) is a critical methodology for prefabricated bridge structures. In this study, a novel concept of digital engineering model that combined existing knowledge of DfMA with object-oriented parametric modeling technologies was developed. Three-dimensional (3D) geometry models and their data models for each phase of a construction project were defined for information delivery. Digital design models were used for conceptual design, including aesthetic consideration and possible variation during fabrication and assembly. The seismic performance of a bridge pier was evaluated by linking the design parameters to the calculated moment-curvature curves. Control parameters were selected to consider the tolerance control and revision of the digital models. Digitalized fabrication of the prefabricated members was realized using the digital fabrication model with G-code for a concrete printer or a robot. The fabrication error was evaluated and the design digital models were updated. The revised fabrication models were used in the preassembly simulation to guarantee constructability. For the maintenance of the bridge, the as-built information was defined for the prefabricated bridge piers. The results of this process revealed that data-driven information delivery is crucial for lifecycle management of prefabricated bridge piers.

• Nuclear Engineering and Technology
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• 제55권8호
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• pp.2844-2853
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• 2023

A sophisticated Bayesian multilevel model for estimating group bias was developed to improve the utility of the ASTM E900-15 embrittlement trend curve (ETC) to assess the conditions of nuclear power plants (NPPs). For multilevel model development, the Baseline 22 surveillance dataset was basically classified into groups based on the NPP name, product form, and notch orientation. By including the notch direction in the grouping criteria, the developed model could account for TTS differences among NPP groups with different notch orientations, which have not been considered in previous ETCs. The parameters of the multilevel model and biases of the NPP groups were calculated using the Markov Chain Monte Carlo method. As the number of data points within a group increased, the group bias approached the mean residual, resulting in reduced credible intervals of the mean, and vice versa. Even when the number of surveillance test data points was less than three, the multilevel model could estimate appropriate biases without overfitting. The model also allowed for a quantitative estimate of the changes in the bias and prediction interval that occurred as a result of adding more surveillance test data. The biases estimated through the multilevel model significantly improved the performance of E900-15.

• Nuclear Engineering and Technology
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• 제54권12호
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• pp.4731-4742
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• 2022

RBMK fuel assemblies differ from other LWR FA due to a specific arrangement of the fuel rods, the low enrichment, and the used burnable absorber - erbium. Therefore, there is a challenge to adapt modeling tools, developed for other LWR types, to solve RBMK problems. A set of 10 different depletion simulation schemes were tested to estimate the impact on reactivity and spent fuel composition of possible SCALE code options for the neutron transport modelling and the use of different nuclear data libraries. The simulations were performed using cross-section libraries based on both, VII.0 and VII.1, versions of ENDF/B nuclear data, and assuming continuous energy and multigroup simulation modes, standard and user-defined Dancoff factor values, and employing deterministic and Monte Carlo methods. The criticality analysis with burn-up credit was performed for the SFP loaded with RBMK-1500 FA. Spent fuel compositions were taken from each of 10 performed depletion simulations. The criticality of SFP is found to be overestimated by up to 0.08% in simulation cases using user-defined Dancoff factors comparing the results obtained using the continuous energy library (VII.1 version of ENDF/B nuclear data). It was shown that such discrepancy is determined by the higher U-235 and Pu-239 isotopes concentrations calculated.

• 유통과학연구
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• 제22권2호
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• pp.11-20
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• 2024

Purpose: The primary objective of this study is to investigate the impact of website quality on impulse buying of the online retailer, which is mediated by positive emotion and moderated by personalized advertising. Research design, data and methodology: The present study used a survey methodology conducted on many user's smartphones. The sample in this study included 409 college students in Indonesia. Purposive sampling was used as the sampling technique. Data was collected by distributing questionnaires to many respondents through the Google Documents online survey. Results: The findings derived from the application of structural equation modelling for data analysis show that 1). Website quality affects impulse buying and positive emotion, and 2). The impact of website quality on impulse buying was mediated by positive emotion and moderated by personalized advertising. Conclusions: The findings presented in this study has significant theoretical implications that contribute to the existing concept on the relationship between website quality, positive emotion, personalized advertising and impulse buying. The findings of the research possess managerial implications. It can be used can as a reference in determining website quality and the appropriate personalized advertising that increases online impulse buying at online retailer In Indonesia.

• 유통과학연구
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• 제22권1호
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• pp.37-46
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• 2024

Purpose: This study aims to address the overlooked micro-level aspects within Smart Manufacturing (SM) research, rectifying the misalignment in manufacturing firms' estimation of their technological adoption capabilities. Drawing upon the Social-Technical Systems (STS) theory, this paper utilises innovation capability as a mediating variable, constructing a human-centric organizational model to bridge this research gap. Research design, data and methodology: This study collected data from 233 Chinese manufacturing firms via online questionnaires. Introducing innovation capability as a mediating variable, it investigates the impact of social-technical system dimensions (work design, social subsystems, and technical subsystems) on SM adoption willingness. Smart PLS 4.0 was employed for data analysis, and Structural Equation Modelling (SEM) validated the theoretical model's assumptions. Results: In direct relationships, social subsystems, technical subsystems, and work design positively influence firms' innovation capabilities, which, in turn, positively impact SM adoption. However, innovation capability does not mediate the relationship between technical subsystems and SM adoption. Conclusions: This study focuses on the internal micro-level of organisational employees, constructing a human-centric framework that emphasises the interaction between organisations and technology. The study fills empirical gaps in Smart Manufacturing adoption, providing organisations with a means to examine the integration of employees and the organisational social-technical system.

• 한국측량학회지
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• 제21권1호
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• pp.81-87
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• 2003

Web 기반 네트워크 환경에서 3차원의 실세계를 파악하는 것은 매우 어려운 과제이다. 그러나 최근의 시뮬레이션 도구들은 여러 가지 3차원 구현 기술들을 접목하여 제한된 2차원 화면 속에서 3차원 요소들을 효율적으로 구현시켜 나가고 있는 추세이다. 많은 GIS 도구들이 3차원 자료 생성을 위한 훌륭한 기능들을 제공하고 있다. 그러나 웹 환경에서 가상현실기법을 이용한 3차원 CIS의 설계에 대한 연구는 미진한 상태이다. 그래서 이 연구에서는 고가의 Map전용 프로그램의 지원 없이 웹상에서 원하는 방향, 시점에 대한 시각적 정보를 제공할 수 있는 능동적 3차원 VR지도를 제작하기 위해 가상현실모델링언어를 이용하여 3차원 지형 Map을 구현하였으며, 이러한 3D Web-Map은 차세대 지도매체로서 그 가능성이 충분하다고 여겨진다.

• 터널과지하공간
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• 제25권5호
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• pp.423-434
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• 2015

본 연구에서는 필러 폭과 모형재료의 강도가 서로 다른 등방성 및 이방성 암반 내 쌍굴터널의 모형실험을 통해 얻어진 터널의 변형과 필러부 균열이 발생한 이축압력 자료를 이용하여 터널 간 이격거리, 지반 강도, 등방성 및 이방성이 터널 안정성에 미치는 영향을 알아보았다. 모형재료의 일축압축강도에 대한 균열개시압력의 백분율을 균열개시압력비율이라고 정의할 경우, 강도가 큰 지반에 시공되는 쌍굴터널은 강도가 작은 지반에 비하여 균열개시압력 값은 크지만, 균열개시압력비율은 작게 나타났다. 이에 비해 필러 폭이 큰 쌍굴터널은 필러 폭이 작은 경우에 비하여 균열개시압력 값이 클 뿐 아니라 균열개시압력비율도 크게 나타나, 필러 폭은 쌍굴터널 안정성에 영향을 미치는 주된 요소로 판단된다. 지반의 등방성과 이방성 여부도 터널 안정성에 영향을 미쳤는데, 이방성 모형은 등방성 모형에 비해 균열개시압력과 균열개시압력비율이 작을 뿐 아니라 필러부에 존재한 기존 불연속면을 따라 균열이 발생하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권4호
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• pp.726-747
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• 2013

In order to support a large number of mobile stations (MSs) with statistical multiplexing in cellular networks, a random access scheme is widely used for uplink (UL) bandwidth request (BR). In the design of a random access based BR scheme, there are two important requirements: short connection delay and diverse Quality of Services (QoSs) support. Such requirements are crucial for IMT-Advanced systems like IEEE 802.16m to provide various types of fourth generation (4G) data services. IEEE 802.16m provides advanced UL BR schemes for non-real time polling service (nrtPS) and best-effort (BE) service to meet the requirements of short connection time and multiple QoS level support. In order to provide short connection time and multiple QoS support, three-step and differentiated BR procedures are adopted. In this paper, a novel modelling of IEEE 802.16m contention based BR scheme is proposed that uses a 2-dimensional discrete time Markov chain. Both the short access delay three-step BR procedures and normal five-step BR procedure are considered in the model. Our proposed model also incorporates the IEEE 802.16m differentiated BR procedure. With the proposed model, we extensively evaluate the performance of IEEE 802.16m BR for two different service classes by changing QoS parameters, such as backoff window size and BR timer. Computer simulations are performed to corroborate the accuracy of the proposed model for various operation scenarios. With the proposed model, accurate QoS parameter values can be derived for the IEEE 802.16m contention-based BR scheme.

• 응용통계연구
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• 제20권2호
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• pp.291-311
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• 2007

전 세계적으로 금융시장에서는 예측할 수 없는 대형 사건들이 지속적으로 일어나고 있으며, 특히 보험시장의 경우에는 대재해성(catastrophe)손실 등을 포함한 극단적 사건에 대한 예측이 날이 갈수록 어려워지고 있는바 극단적 위험관리에 대한 필요성이 증대되고 있다. 극단적 위험관리에 있어 분포의 꼬리영역만을 분리하여 그 정보를 최대로 이용하는 방법이 필요한데, 이러한 문제들을 해결하기 위해 극단치들의 움직임을 모형화 하는 소위 극단치 이론(Extreme Value Theory: EVT)을 이용하는 것이 요구된다. 극단치 이론은 현재 여러 분야에서 활용되고 있는데, 특히 금융시장에서는 극단적 변화가 미치는 영향을 분석하기 위해서 극단치 이론을 이용한 금융위험분석을 실시하고 있다. 본 연구에서는 위험관리에 있어서 극단치 이론의 중요성을 검토하고 보험사의 위험자본에 초점을 맞추어 손실 발생의 극단적 위험을 측정하고 이에 대비한 위험자본의 적정규모를 측정하여 보았다.